Triple
T10210017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildred Montag |
E242300
|
entity |
| Predicate | pastime |
P81
|
FINISHED |
| Object | listening to seashell radios |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: listening to seashell radios | Statement: [Mildred Montag, pastime, listening to seashell radios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pastime Context triple: [Mildred Montag, pastime, listening to seashell radios]
-
A.
enjoys
Indicates that one entity derives pleasure, satisfaction, or positive feelings from another entity or activity.
-
B.
pastOrdinary
Indicates that the related action or state occurred in the past using the simple (non-progressive, non-perfect) tense.
-
C.
activity
chosen
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
formerHobby
Indicates that an activity was previously pursued as a hobby by an entity but is no longer currently practiced as such.
-
E.
traditionalGame
Indicates that the relationship involves playing, practicing, or being associated with a game that is rooted in longstanding cultural or historical traditions.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:01 a.m.